Ruchika Gupta

US Patent:

20220206927, Jun 30, 2022

Filed:

Dec 29, 2020

Appl. No.:

17/136685

Inventors:

- Stamford CT, US
Ruchika Gupta - Norwalk CT, US

International Classification:

G06F 11/36
G06N 20/00
G06Q 30/06

Abstract:

A system and a method for recommending a modification to a test package for a software under test. A release note package associated to a feature of a software is received. The release note package is analysed in real time using machine learning based models. Further, a keyword is extracted from the release note package using a keyword extraction technique. The keyword corresponds to the feature of the software. The keyword is compared with nomenclatures present in a test package using a pattern matching technique. The test package is associated to the feature of the software. Finally, a modification to the test package is recommended based on the comparison. The modification comprises addition, deletion, or updating an existing element of the test package. It may be noted that the modification is recommended using an Artificial Intelligence (AI) technique

US Patent:

20190243752, Aug 8, 2019

Filed:

Feb 5, 2018

Appl. No.:

15/888949

Inventors:

- Wilmington DE, US
Ruchika Gupta - Norwalk CT, US
Mark Sawers - Fairfield CT, US

International Classification:

G06F 11/36

Abstract:

Disclosed is a system and method for multi-channel testing of a software application is disclosed. The system may generate a set of test case definitions for testing a software application. The system may further allocate a sub-set of test case definitions, from the set of test cases definitions, to each test execution channel from the set of test execution channels based on a set of execution parameters specified by a user and the primary execution channel as well as the secondary execution channel associated with each test case definition. Furthermore, using the test case definitions associated with each test case execution channel, the system may enable testing of the software application at respective test execution channels and accordingly report the test execution results to the user.

US Patent:

20180239688, Aug 23, 2018

Filed:

Feb 22, 2017

Appl. No.:

15/438762

Inventors:

- Wilmington DE, US
Ruchika Gupta - Norwalk CT, US

International Classification:

G06F 11/36

Abstract:

Disclosed is a system and method for real-time identification of anomalous behavior in a software program. The system is configured to generate a set of signatures files corresponding to a set of test cases. In one embodiment, each signature file is configured to maintain trace data generated after running the one or more test cases on the software program in a staging environment. Further, the system may capture real-time trace data from the software program, wherein the software program is deployed in a production environment. Further, the system may analyze the real-time trace data to identify a subset of signature files, from the set of signature files, applicable to the real-time trace data. Further, the system may compare the real-time trace data with the sub set of signature files to identify anomalous behavior in the software program.

US Patent:

20170371304, Dec 28, 2017

Filed:

Jun 27, 2016

Appl. No.:

15/194488

Inventors:

- Wilmington DE, US
Ruchika Gupta - Norwalk CT, US

International Classification:

G05B 9/02
G07C 3/00
G05B 19/418
G06F 11/36
F16P 3/00

Abstract:

Disclosed is a system for determining one or more lines of code uniquely executed corresponding to a plurality of test cases executed on a computer program of an IT enabled application. The system creates a plurality of test cases (either manually or automatically). The system further enables a test case execution tool and a code coverage tool. The test case execution tool executes each of the plurality of test cases on the plurality of lines of code. On the other hand, the code coverage tool monitors the one or more lines of code, of the plurality of lines of code, executed for each test case. Subsequently, the system further determines Test Case To Code Mapping (TCTCM) indicating a subset, of the plurality of lines of code, executed at least once by the test case execution tool upon execution of one or more test cases of the plurality of test cases.